SQL Server 2017 introduced two different architectures for availability groups. Always On availability groups provide high availability, disaster recovery, and read-scale balancing. These availability groups require a cluster manager. In Windows, the failover clustering feature provides the cluster manager....
SQL Server 2017 introduced two different architectures for availability groups.Always On availability groupsprovide high availability, disaster recovery, and read-scale balancing. These availability groups require a cluster manager. In Windows, the failover clustering feature provides the cluster manager. In...
SQL Server 2017 introduced two different architectures for availability groups.Always On availability groupsprovide high availability, disaster recovery, and read-scale balancing. These availability groups require a cluster manager. In Windows, the failover clustering feature provides the cluster manager. In...
SQL Server 2017 introduced two different architectures for availability groups. Always On availability groups provide high availability, disaster recovery, and read-scale balancing. These availability groups require a cluster manager. In Windows, the failover clustering feature ...
The major versions of SQL Server must be the same, as discussed in the previous section. Much like the initial figure, the following figure shows AG 1 and AG 2 participating in a distributed availability group, but each of the WSFCs is a different version of Windows Server. The ...
The power of graphs is in analytics, the insights they provide, and their ability to link disparate data sources. When it comes to analyzing graphs, algorithms explore the paths and distance between the vertices, the importance of the vertices, and clustering of the vertices. For example, to ...
Clustering: Clustering is a form of unsupervised learning that exposes an algorithm to unlabeled data sets in which data may fall into distinct groups, or clusters. As the algorithm evaluates training data, it searches for patterns and overlapping details between the data and creates groups. Say ...
SQL Server 2017 introduced two different architectures for availability groups.Always On availability groupsprovide high availability, disaster recovery, and read-scale balancing. These availability groups require a cluster manager. In Windows, the failover clustering feature provides the cluster manager. In...
Clustering algorithms are often the first step in machine learning, revealing the underlying structure within the dataset. Categorizing common items, clustering is commonly used in market segmentation, offering insight that can help select price and anticipate customer preferences. ...
Unsupervised learning is effective for various tasks, including the following: Splitting the data set into groups based on similarity using clustering algorithms. Identifying unusual data points in a data set using anomaly detection algorithms. Discovering sets of items in a data set that frequently oc...